LLM-Assisted Augmented Intelligence for Context-Aware Decision Support: Current Trends and Integrated Approach

Alexander Smirnov, Andrew Ponomarev, Nikolay Shilov, Tatiana Levashova

2025

Abstract

The growing complexity of technical, social, and business systems created and managed by humans determine the need for effective decision support. Recent advancements in AI push the boundary of what can be accomplished using AI tools and what are possible modes of human-AI interaction, bringing a concept of augmented intelligence, extending intellectual capabilities of human by variety of AI-based tools, while leaving final decision-making (as well as some other operations, e.g., goal-setting, coordination, control) to a human. This paper explores possibilities of using augmented intelligence for decision support. Starting with a general structure of decision-making process, it highlights and reviews current trends in several branches of AI, that are most important for decision support. Then, it proposes an integrated approach combining conversational, generative, and evaluative AI. Distinguishing features of the proposed approach are integration and mutual enrichment of data- and model-based techniques, as well as using modern LLMs as a basis for human-AI interaction during decision-making.

Paper Citation

in Harvard Style

Smirnov A., Ponomarev A., Shilov N. and Levashova T. (2025). LLM-Assisted Augmented Intelligence for Context-Aware Decision Support: Current Trends and Integrated Approach. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS; ISBN 978-989-758-769-6, SciTePress, pages 409-416. DOI: 10.5220/0013714300004000

in Bibtex Style

@conference{kmis25,
author={Alexander Smirnov and Andrew Ponomarev and Nikolay Shilov and Tatiana Levashova},
title={LLM-Assisted Augmented Intelligence for Context-Aware Decision Support: Current Trends and Integrated Approach},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS},
year={2025},
pages={409-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013714300004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS
TI - LLM-Assisted Augmented Intelligence for Context-Aware Decision Support: Current Trends and Integrated Approach
SN - 978-989-758-769-6
AU - Smirnov A.
AU - Ponomarev A.
AU - Shilov N.
AU - Levashova T.
PY - 2025
SP - 409
EP - 416
DO - 10.5220/0013714300004000
PB - SciTePress